zhenlineo commented on code in PR #40796:
URL: https://github.com/apache/spark/pull/40796#discussion_r1183914885
##########
connector/connect/server/src/main/scala/org/apache/spark/sql/connect/planner/SparkConnectPlanner.scala:
##########
@@ -1867,7 +1928,34 @@ class SparkConnectPlanner(val session: SparkSession) {
output.logicalPlan
}
+ def transformKeyValueGroupedAggregate(rel: proto.Aggregate): LogicalPlan = {
+ val ds = UntypedKeyValueGroupedDataset(
+ rel.getInput,
+ rel.getGroupingExpressionsList,
+ java.util.Collections.emptyList())
+
+ val namedColumns = rel.getAggregateExpressionsList.asScala.toSeq.map(expr
=> {
Review Comment:
No, I can only think of using `UnresolvedFunc` to carry both `mapValues` +
`aggExprs`. Any better ideas are most welcome.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
